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131
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ICPR
2004
IEEE
16 years 6 months ago
2004
IEEE
This paper presents a new approach for representing multidimensional data by a compact number of bases. We consider the multidimensional data as tensors instead of matrices or vec...
154
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
135
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ISDA
2009
IEEE
15 years 11 months ago
2009
IEEE
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
136
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ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
One of the biggest challenges in speaker recognition is dealing with speaker-emotion variability. The basic problem is how to train the emotion GMMs of the speakers from their neu...
143
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IJCNN
2008
IEEE
15 years 11 months ago
2008
IEEE
Abstract—Acquisition and representation of semantic concepts is a necessary requirement for the understanding of natural languages by cognitive systems. Word games provide an int...